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Yoshiharu Yamamoto
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2020 – today
- 2024
- [j29]Wanyong Qiu
, Chen Quan
Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework. IEEE Trans. Biomed. Eng. 71(10): 2802-2813 (2024) - [j28]Lixian Zhu
LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j27]Roneel V. Sharan
Automated Cough Sound Analysis for Detecting Childhood Pneumonia. IEEE J. Biomed. Health Informatics 28(1): 193-203 (2024) - [j26]Wanyong Qiu
Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection. IEEE J. Biomed. Health Informatics 28(9): 5055-5066 (2024) - [c38]Chengyu Yuan, Hao Xiong, Guoqing Shangguan, Hualei Shen, Dong Liu, Haojie Zhang, Zhonghua Liu, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto, Shlomo Berkovsky
Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation. ICASSP 2024: 1676-1680 - 2023
- [j25]Zhihua Wang
Exploring interpretable representations for heart sound abnormality detection. Biomed. Signal Process. Control. 82: 104569 (2023) - [j24]Jingtan Li
Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy. EURASIP J. Audio Speech Music. Process. 2023(1): 43 (2023) - [c37]Zhihao Bao, Kun Qian, Zhonghao Zhao, Mengkai Sun
Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model. EMBC 2023: 1-4 - [c36]Gang Luo, Shuting Sun, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
How does Music Affect Your Brain? A Pilot Study on EEG and Music Features for Automatic Analysis. EMBC 2023: 1-4 - [c35]Roneel V. Sharan, Kun Qian, Yoshiharu Yamamoto:
Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron. EMBC 2023: 1-4 - [c34]Zikai Song, Lixian Zhu, Yiyan Wang, Mengkai Sun
Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach. EMBC 2023: 1-4 - [c33]Cuiping Zhu, Zhonghao Zhao, Yang Tan, Mengkai Sun
Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation. EMBC 2023: 1-4 - [c32]Runze Ge, Zhihua Wang, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An End-to-End Model for Speech-based Somatisation Disorder Detection. GCCE 2023: 603-605 - [c31]Luyu Chen, Lin Shen, Dan Yu, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Multi-Track Music Generation with WGAN-GP and Attention Mechanisms. GCCE 2023: 606-607 - [c30]Minki Cho, Zhonghao Zhao, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Snore Sound Recognition via an Explainable Capsule Network. GCCE 2023: 1048-1049 - [c29]Yang Tan, Zhihua Wang, Kun Qian, Zhihao Bao, Zheyu Cao, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification. HealthCom 2023: 90-94 - [c28]Meishu Song, Andreas Triantafyllopoulos, Zijiang Yang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Xin Jing, Vincent Karas, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis. ICASSP 2023: 1-5 - [c27]Yongzi Yu, Wanyong Qiu
Federated Intelligent Terminals Facilitate Stuttering Monitoring. ICASSP 2023: 1-5 - [c26]Tomoya Koike, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound. ICCE-Taiwan 2023: 783-784 - [c25]Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Toru Nakamura, Yongxin Zhang, Zhao Ren, Hiroki Takeuchi, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Haojie Zhang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction. ICDM (Workshops) 2023: 1299-1305 - [c24]Dewen Xu, Zhihua Wang, Tsuyoshi Kitajima, Toru Nakamura, Hiroko Shimura, Hiroki Takeuchi, Yang Tan, Runze Ge, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data. ICDM (Workshops) 2023: 1306-1312 - [c23]Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Explainable Stuttering Recognition Using Axial Attention. ICIC (3) 2023: 209-220 - 2022
- [j23]Bin Hu
Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status. IEEE Trans. Comput. Soc. Syst. 9(5): 1275-1281 (2022) - [j22]Kun Qian
Learning Multimodal Representations for Drowsiness Detection. IEEE Trans. Intell. Transp. Syst. 23(8): 11539-11548 (2022) - [c22]Wanyong Qiu
A Federated Learning Paradigm for Heart Sound Classification. EMBC 2022: 1045-1048 - [c21]Lixian Zhu, Kun Qian, Zhihua Wang, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Heart Sound Classification based on Residual Shrinkage Networks. EMBC 2022: 4469-4472 - [c20]Yang Tan
Heart Sound Classification based on Fractional Fourier Transformation Entropy. LifeTech 2022: 588-589 - [i5]Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Xin Jing, Vincent Karas, Jiangjian Xie, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller:
Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression. CoRR abs/2206.11049 (2022) - 2021
- [j21]Li Li, Toru Nakamura, Junichiro Hayano, Yoshiharu Yamamoto:
Seasonal Sleep Variations and Their Association With Meteorological Factors: A Japanese Population Study Using Large-Scale Body Acceleration Data. Frontiers Digit. Health 3: 677043 (2021) - [j20]Kun Qian
Can Appliances Understand the Behavior of Elderly Via Machine Learning? A Feasibility Study. IEEE Internet Things J. 8(10): 8343-8355 (2021) - [j19]Kun Qian
Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. IEEE Internet Things J. 8(21): 16035-16046 (2021) - [j18]Kun Qian
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring. IEEE Signal Process. Mag. 38(4): 78-88 (2021) - [j17]Kun Qian
Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review. IEEE J. Biomed. Health Informatics 25(4): 1233-1246 (2021) - [c19]Kun Qian, Tomoya Koike, Kota Tamada, Toru Takumi, Björn W. Schuller, Yoshiharu Yamamoto:
Sensing the Sounds of Silence: A Pilot Study on the Detection of Model Mice of Autism Spectrum Disorder from Ultrasonic Vocalisations. EMBC 2021: 68-71 - [c18]Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto:
Transferring Cross-Corpus Knowledge: An Investigation on Data Augmentation for Heart Sound Classification. EMBC 2021: 1976-1979 - [c17]Meishu Song, Kun Qian, Bin Chen, Keiju Okabayashi, Emilia Parada-Cabaleiro, Zijiang Yang, Shuo Liu, Kazumasa Togami, Ichiro Hidaka, Yueheng Wang, Björn W. Schuller, Yoshiharu Yamamoto:
Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom. ICDSP 2021: 140-145 - [c16]Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto:
Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview. LifeTech 2021: 181-182 - [i4]Zhao Ren, Kun Qian, Fengquan Dong, Zhenyu Dai, Yoshiharu Yamamoto, Björn W. Schuller:
Deep Attention-based Representation Learning for Heart Sound Classification. CoRR abs/2101.04979 (2021) - 2020
- [j16]Kun Qian, Xiao Li, Haifeng Li, Shengchen Li, Wei Li, Zuoliang Ning, Shuai Yu, Limin Hou, Gang Tang, Jing Lu, Feng Li, Shufei Duan, Chengcheng Du, Yao Cheng, Yujun Wang, Lin Gan, Yoshiharu Yamamoto, Björn W. Schuller
Computer Audition for Healthcare: Opportunities and Challenges. Frontiers Digit. Health 2: 5 (2020) - [j15]Fengquan Dong, Kun Qian
Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus. IEEE J. Biomed. Health Informatics 24(7): 2082-2092 (2020) - [c15]Tomoya Koike, Kun Qian
Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification. EMBC 2020: 74-77 - [c14]Tomoya Koike, Kun Qian
Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task. INTERSPEECH 2020: 2047-2051 - [c13]Jing Han, Kun Qian
An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. INTERSPEECH 2020: 4946-4950 - [c12]Yueheng Wang, Kun Qian
Can Affective Computing Better the Mental Status of the Electronic Games Player? A Perspective. LifeTech 2020: 366-367 - [i3]Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller:
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. CoRR abs/2005.00096 (2020) - [i2]Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto:
deepSELF: An Open Source Deep Self End-to-End Learning Framework. CoRR abs/2005.06993 (2020) - [i1]Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto:
Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview. CoRR abs/2012.04650 (2020)
2010 – 2019
- 2019
- [j14]Herwig Wendt
Wavelet p-Leader Non Gaussian Multiscale Expansions for Heart Rate Variability Analysis in Congestive Heart Failure Patients. IEEE Trans. Biomed. Eng. 66(1): 80-88 (2019) - [c11]Bin Chen, Koki Hatada, Keiju Okabayashi, Hiroyuki Kuromiya, Ichiro Hidaka, Yoshiharu Yamamoto
Group Activity Recognition to Support Collaboration in Creative Digital Space. CSCW Companion 2019: 175-179 - [c10]Kun Qian
Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder. EMBC 2019: 3592-3595 - [c9]Kun Qian
Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach. ISICDM 2019: 71-75 - [c8]Kun Qian
Deep Wavelets for Heart Sound Classification. ISPACS 2019: 1-2 - 2018
- [j13]Gaetano Valenza
Mortality Prediction in Severe Congestive Heart Failure Patients With Multifractal Point-Process Modeling of Heartbeat Dynamics. IEEE Trans. Biomed. Eng. 65(10): 2345-2354 (2018) - 2017
- [c7]Gaetano Valenza
Multiscale properties of instantaneous parasympathetic activity in severe congestive heart failure: A survivor vs non-survivor study. EMBC 2017: 3761-3764 - 2016
- [j12]Toru Nakamura
Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications. Proc. IEEE 104(2): 242-261 (2016) - [c6]Yuki Miki, Yasuyuki Suzuki
Long-range correlations in amplitude variability of HF and LF components of heart rate variability. EMBC 2016: 6218-6221 - 2015
- [j11]Jinhyuk Kim
Covariation of Depressive Mood and Spontaneous Physical Activity in Major Depressive Disorder: Toward Continuous Monitoring of Depressive Mood. IEEE J. Biomed. Health Informatics 19(4): 1347-1355 (2015) - [c5]Gaetano Valenza
Point-process high-resolution representations of heartbeat dynamics for multiscale analysis: A CHF survivor prediction study. EMBC 2015: 1951-1954 - [c4]Jinhyuk Kim
Psychobehavioral validity of self-reported symptoms based on spontaneous physical activity. EMBC 2015: 4021-4024 - 2014
- [c3]Herwig Wendt
MultiScale wavelet p-leader based heart rate variability analysis for survival probability assessment in CHF patients. EMBC 2014: 2809-2812 - [c2]Jinhyuk Kim
Co-variation of depressive mood and spontaneous physical activity evaluated by ecological momentary assessment in major depressive disorder. EMBC 2014: 6635-6638 - 2012
- [c1]Toru Nakamura
Behavioral organization of locomotor activity and its modeling. SCIS&ISIS 2012: 1013-1016 - 2010
- [j10]Kentaro Yamanaka
Single-trial EEG Power and Phase Dynamics Associated with Voluntary Response Inhibition. J. Cogn. Neurosci. 22(4): 714-727 (2010) - [j9]Yusuke Takeda, Masa-aki Sato, Kentaro Yamanaka
A generalized method to estimate waveforms common across trials from EEGs. NeuroImage 51(2): 629-641 (2010)
2000 – 2009
- 2008
- [j8]Yusuke Takeda, Kentaro Yamanaka
Temporal decomposition of EEG during a simple reaction time task into stimulus- and response-locked components. NeuroImage 39(2): 742-754 (2008) - [j7]Yusuke Takeda, Kentaro Yamanaka
Extracting a stimulus-unlocked component from EEG during NoGo trials of a Go/NoGo task. NeuroImage 41(3): 777-788 (2008) - 2006
- [j6]Sergio Cerutti
Recent Advances in Heart Rate Variability Signal Processing and Interpretation. IEEE Trans. Biomed. Eng. 53(1): 1-3 (2006) - [j5]Fumiharu Togo, Ken Kiyono
Unique very low-frequency heart rate variability during deep sleep in humans. IEEE Trans. Biomed. Eng. 53(1): 28-34 (2006) - [j4]Zbigniew R. Struzik
Aging of complex heart rate dynamics. IEEE Trans. Biomed. Eng. 53(1): 89-94 (2006) - [j3]Ken Kiyono
Multiscale probability density function analysis: non-Gaussian and scale-Invariant fluctuations of healthy human heart rate. IEEE Trans. Biomed. Eng. 53(1): 95-102 (2006)
1990 – 1999
- 1997
- [j2]Jacques Olivier Fortrat, Yoshiharu Yamamoto
Respiratory influences on non-linear dynamics of heart rate variability in humans. Biol. Cybern. 77(1): 1-10 (1997) - 1993
- [j1]Yoshiharu Yamamoto, Richard Lee Hughson
Operation Everest II: An indication of deterministic chaos in human heart rate variability at simulated extreme altitude. Biol. Cybern. 69(3): 205-212 (1993)
Coauthor Index
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last updated on 2024-10-23 20:29 CEST by the dblp team
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